Deep convolutional neural networks and noisy images (2018)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-75193-1_50
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE IMAGENS; REDES NEURAIS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 10657, p. 416-424, 2018
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NAZARÉ, Tiago S et al. Deep convolutional neural networks and noisy images. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-75193-1_50. Acesso em: 19 abr. 2024. , 2018 -
APA
Nazaré, T. S., Costa, G. B. P. da, Contato, W. A., & Ponti, M. A. (2018). Deep convolutional neural networks and noisy images. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-75193-1_50 -
NLM
Nazaré TS, Costa GBP da, Contato WA, Ponti MA. Deep convolutional neural networks and noisy images [Internet]. Lecture Notes in Computer Science. 2018 ; 10657 416-424.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_50 -
Vancouver
Nazaré TS, Costa GBP da, Contato WA, Ponti MA. Deep convolutional neural networks and noisy images [Internet]. Lecture Notes in Computer Science. 2018 ; 10657 416-424.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_50 - Does background intensity estimation influence the iterative restoration of microscope images?
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Informações sobre o DOI: 10.1007/978-3-319-75193-1_50 (Fonte: oaDOI API)
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